Paper Info
Title
LightMon: Apportioning the Effect of Light Switching Events on the Electricity Consumption of Buildings.
Abstract
A major share of the electricity consumption in buildings is caused by the lighting installation. In contrast to other consumers of electricity, the components for lighting are distributed over the entire building. Therefore, measuring the electric energy spent for lighting with the appropriate level of detail is a very costly endeavor. In order to mitigate the underlying problem, we developed the LightMon system which correlates light switching events obtained from a Building Automation Network (BAN) with power measurements on the mains distribution level. Combining both sources of information allows our system to estimate the electricity consumption for each light individually with an estimation error below 11.34%. The system adapts automatically by observing switching events and their effects on the power consumption. This adaptation occurs during normal building operation without explicit training phase. In addition to the above mentioned characteristics, the system can be deployed in most buildings with commercial use. The LightMon system facilitates comprehensive information gathering on the electricity consumption of buildings, enabling advanced energy optimizations.
Year
Venue
Field
2016
EWSN
Automotive engineering,Stand-alone power system,Smart lighting,Level of detail,Computer science,Simulation,Electricity,Real-time computing,Mains electricity,Building automation,Electric energy,Power consumption
DocType
Citations 
PageRank 
Conference
1
0.39
References 
Authors
16
3
Name
Order
Citations
PageRank
Frank Englert1638.66
Patrick Lieser222.43
Marius Rettberg-Paplow310.73